Instructions to use hf-internal-testing/tiny-random-PvtV2Backbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PvtV2Backbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, PvtV2Backbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-PvtV2Backbone") model = PvtV2Backbone.from_pretrained("hf-internal-testing/tiny-random-PvtV2Backbone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2390d8e22f19d692e7e76fcfebeb3328ae3c177b146cfd018e90ce8e1ba0e184
- Size of remote file:
- 3.11 MB
- SHA256:
- 80121b75e3a7954e58f8b19ed3ee2e89a0ede1207310472c3fd36065130245b7
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